1028 Open source projects that are alternatives of or similar to Drishti

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Android app that localizes facial landmarks in nearly real-time

the moving objects tracking system via two axis camera motion (and as optionally n joint robotic arm) for raspberry pi distributions

Nextcloud app that implement a basic facial recognition system.

Finds facial features such as face contour, eyes, mouth and nose in an image.

Face-recognition using Siamese network

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

😆 A voice chatbot that can imitate your expression. OpenCV+Dlib+Live2D+Moments Recorder+Turing Robot+Iflytek IAT+Iflytek TTS

The remake of the https://github.com/biubug6/Pytorch_Retinaface

二自由度云台实现人脸追踪。 首先是使用一款名字叫做IP摄像头的APP 采集手机摄像头的图像，在手机上建立一个视频流服务器。在局域网下，PC通过IP还有端口号获取图像。使用OpenCV的人脸检测的API获取人脸在画面中的位置，根据人脸位置距离画面中心的x轴与y轴的偏移量(offset) ，通过P比例控制(PID控制中最简单的一种)控制二自由度云台上臂与下臂的旋转角度，将角度信息通过串口通信UART发送给ESP32单片机(不限于ESP32，STM32,Arduino都可以)解析执行对应的操作，从而使得人脸尽可能处在画面的正中间。

Compare with various detectors - s3fd, dlib, ocv, ocv-dnn, mtcnn-pytorch, face_recognition

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Add Christmas hat on one's head based on OpneCV and Dlib

Image processing using python and opencv

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Building Decision Trees From Scratch In Python

Real-Time Face Detection App using Computer Vision & JavaFX

Android Studio project (Java)

Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Simple (🤞) face averaging (🙂) in Python (🐍)

Android native application to perform head pose estimation using images coming from the front camera.

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms

Face tracker with blend shapes coefficients, 3D head pose and dense mesh in real-time on iOS, Android, Mac, PC and Linux.

Creating a software for automatic monitoring in online proctoring

Robust realtime face and facial landmark tracking on CPU with Unity integration

Using OpenCV and Dlib to predict facial attractiveness.

🕶 A curated list of Tiny Object Detection papers and related resources.

🍎 My own face recognition with deep neural networks.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Expose tensorflow-lite models via a rest API

The World's Leading Cross Platform AI Engine for Edge Devices

macOS C++ examples utilizing OpenCV for camera access and drawing the face tracking results.

Marvel - Face Recognition With Android & OpenCV

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Face recognition using facenet

Self hosted alternative to Google Photos

Face detection using deep learning.

🌳 Stacked Gradient Boosting Machines

Quick start examples for Banuba Face AR SDK on Android

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

Facial landmarks detection with OpenCV, Dlib, DNN

Windows C++ examples utilizing OpenCV for camera access and drawing the face tracking results.

BRFv4 - HTML5/Javascript - examples project. Reference implementation for all other platform example packages.

JavaScript/WebGL real-time face tracking and expression detection library. Build your own emoticons animated in real time in the browser! SVG and THREE.js integration demos are provided.

A binary library for very fast face detection using compact CNNs.

JavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.

Cool Vision projects

A Free, Offline, Real-Time, Open-source web-app to assist organisers of any event in allowing only authorised/invited people using Face-Recognition Technology or QR Code.